---
title: "Who cites Word Sense Disambiguation: A Unified Evaluation…"
description: "The papers of the Elamur Research library that cite «Word Sense Disambiguation: A Unified Evaluation Framework and Empirical Comparison», found in their…"
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# Who cites «Word Sense Disambiguation: A Unified Evaluation Framework and Empirical Comparison» · page 2

167 papers of our library cite it, newest first: found in their bibliographies, which we read ourselves. [← the card](https://md.research.elamur.ai/free/en/papers/onto-2017-raganato-word-sense-disambiguation-unified-evaluation/)

Pages: [1](https://md.research.elamur.ai/free/en/papers/onto-2017-raganato-word-sense-disambiguation-unified-evaluation/cited-by/) · **2**

1. [WiC-TSV: An Evaluation Benchmark for Target Sense Verification of Words in Context](https://aclanthology.org/2021.eacl-main.140/) *— 2021 · Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume*
2. [Wikipedia Entities as Rendezvous across Languages: Grounding Multilingual Language Models by Predicting Wikipedia Hyperlinks](https://aclanthology.org/2021.naacl-main.286/) *— 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
3. [Word Sense Disambiguation: Towards Interactive Context Exploitation from Both Word and Sense Perspectives](https://aclanthology.org/2021.acl-long.406/) *— 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)*
4. [A Short Survey on Sense-Annotated Corpora](https://aclanthology.org/2020.lrec-1.706/) *— 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference*
5. [A Synset Relation-enhanced Framework with a Try-again Mechanism for Word Sense Disambiguation](https://aclanthology.org/2020.emnlp-main.504/) *— 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
6. [CluBERT: A Cluster-Based Approach for Learning Sense Distributions in Multiple Languages](https://aclanthology.org/2020.acl-main.369/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
7. [Conception: Multilingually-Enhanced, Human-Readable Concept Vector Representations](https://aclanthology.org/2020.coling-main.291/) *— 2020 · Proceedings of the 28th International Conference on Computational Linguistics*
8. [Contextualized Weak Supervision for Text Classification](https://aclanthology.org/2020.acl-main.30/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
9. [Contextualized Word Embeddings Encode Aspects of Human-Like Word Sense Knowledge](https://aclanthology.org/2020.cogalex-1.16/) *— 2020 · Proceedings of the Workshop on the Cognitive Aspects of the Lexicon*
10. [Corpus-based Identification of Verbs Participating in Verb Alternations Using Classification and Manual Annotation](https://aclanthology.org/2020.coling-main.357/) *— 2020 · Proceedings of the 28th International Conference on Computational Linguistics*
11. [Do Dogs have Whiskers? A New Knowledge Base of hasPart Relations](https://arxiv.org/abs/2006.07510) *— 2020 · arXiv:2006.07510*
12. [Don”t Neglect the Obvious: On the Role of Unambiguous Words in Word Sense Disambiguation](https://aclanthology.org/2020.emnlp-main.283/) *— 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
13. [Generationary or «How We Went beyond Word Sense Inventories and Learned to Gloss»](https://md.research.elamur.ai/free/en/papers/lex-2020-bevilacqua-generationary/) *— our card · 2020 · EMNLP 2020*
14. [Implementing an End-to-End Treebank-Informed Pipeline for Bulgarian](https://aclanthology.org/2020.tlt-1.14/) *— 2020 · Proceedings of the 19th International Workshop on Treebanks and Linguistic Theories*
15. [Improving Word Sense Disambiguation with Translations](https://aclanthology.org/2020.emnlp-main.332/) *— 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
16. [Latin BERT: A Contextual Language Model for Classical Philology](https://arxiv.org/abs/2009.10053) *— 2020 · arXiv:2009.10053*
17. [Learning to Learn to Disambiguate: Meta-Learning for Few-Shot Word Sense Disambiguation](https://aclanthology.org/2020.findings-emnlp.405/) *— 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020*
18. [Modelling Lexical Ambiguity with Density Matrices](https://aclanthology.org/2020.conll-1.21/) *— 2020 · Proceedings of the 24th Conference on Computational Natural Language Learning*
19. [Moving Down the Long Tail of Word Sense Disambiguation with Gloss Informed Bi-encoders](https://aclanthology.org/2020.acl-main.95/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
20. [One Classifier for All Ambiguous Words: Overcoming Data Sparsity by Utilizing Sense Correlations Across Words](https://aclanthology.org/2020.lrec-1.732/) *— 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference*
21. [Personalized PageRank with Syntagmatic Information for Multilingual Word Sense Disambiguation](https://aclanthology.org/2020.acl-demos.6/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: System Demonstrations*
22. [Quantifying the Contextualization of Word Representations with Semantic Class Probing](https://aclanthology.org/2020.findings-emnlp.109/) *— 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020*
23. [Sense-Annotated Corpora for Word Sense Disambiguation in Multiple Languages and Domains](https://aclanthology.org/2020.lrec-1.723/) *— 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference*
24. [Sparsity Makes Sense: Word Sense Disambiguation Using Sparse Contextualized Word Representations](https://aclanthology.org/2020.emnlp-main.683/) *— 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
25. [UnihanLM: Coarse-to-Fine Chinese-Japanese Language Model Pretraining with the Unihan Database](https://aclanthology.org/2020.aacl-main.24/) *— 2020 · Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing*
26. [With More Contexts Comes Better Performance: Contextualized Sense Embeddings for All-Round Word Sense Disambiguation](https://aclanthology.org/2020.emnlp-main.285/) *— 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
27. [XL-WiC: A Multilingual Benchmark for Evaluating Semantic Contextualization](https://aclanthology.org/2020.emnlp-main.584/) *— 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
28. [A Contrastive Evaluation of Word Sense Disambiguation Systems for Finnish](https://aclanthology.org/W19-0304/) *— 2019 · Proceedings of the Fifth International Workshop on Computational Linguistics for Uralic Languages*
29. [A Quantum-Like Approach to Word Sense Disambiguation](https://aclanthology.org/R19-1135/) *— 2019 · Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2019)*
30. [Abstractive Text Summarization Based on Deep Learning and Semantic Content Generalization](https://aclanthology.org/P19-1501/) *— 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics*
31. [Assessing Back-Translation as a Corpus Generation Strategy for non-English Tasks: A Study in Reading Comprehension and Word Sense Disambiguation](https://aclanthology.org/W19-4010/) *— 2019 · Proceedings of the 13th Linguistic Annotation Workshop*
32. [Deep Contextualized Biomedical Abbreviation Expansion](https://aclanthology.org/W19-5010/) *— 2019 · Proceedings of the 18th BioNLP Workshop and Shared Task*
33. [Game Theory Meets Embeddings: a Unified Framework for Word Sense Disambiguation](https://aclanthology.org/D19-1009/) *— 2019 · Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)*
34. [GlossBERT: BERT for Word Sense Disambiguation with Gloss Knowledge](https://aclanthology.org/D19-1355/) *— 2019 · Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)*
35. [Improved Word Sense Disambiguation Using Pre-Trained Contextualized Word Representations](https://aclanthology.org/D19-1533/) *— 2019 · Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)*
36. [Know Your Graph. State-of-the-Art Knowledge-Based WSD](https://aclanthology.org/R19-1110/) *— 2019 · Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2019)*
37. [Knowledge Enhanced Contextual Word Representations](https://aclanthology.org/D19-1005/) *— 2019 · Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)*
38. [Language Modelling Makes Sense: Propagating Representations through WordNet for Full-Coverage Word Sense Disambiguation](https://aclanthology.org/P19-1569/) *— 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics*
39. [Learning Graph Embeddings from WordNet-based Similarity Measures](https://aclanthology.org/S19-1014/) *— 2019 · Proceedings of the Eighth Joint Conference on Lexical and Computational Semantics (*SEM 2019)*
40. [Quasi Bidirectional Encoder Representations from Transformers for Word Sense Disambiguation](https://aclanthology.org/R19-1015/) *— 2019 · Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2019)*
41. [Sense Vocabulary Compression through the Semantic Knowledge of WordNet for Neural Word Sense Disambiguation](https://aclanthology.org/2019.gwc-1.14/) *— 2019 · Proceedings of the 10th Global Wordnet Conference*
42. [SyntagNet: Challenging Supervised Word Sense Disambiguation with Lexical-Semantic Combinations](https://aclanthology.org/D19-1359/) *— 2019 · Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)*
43. [Using Wiktionary as a resource for WSD : the case of French verbs](https://aclanthology.org/W19-0422/) *— 2019 · Proceedings of the 13th International Conference on Computational Semantics - Long Papers*
44. [Visualizing and Measuring the Geometry of BERT](https://arxiv.org/abs/1906.02715) *— 2019 · arXiv:1906.02715*
45. [Word Sense Disambiguation based on Constrained Random Walks in Linked Semantic Networks](https://aclanthology.org/R19-1061/) *— 2019 · Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2019)*
46. [Zero-shot Word Sense Disambiguation using Sense Definition Embeddings](https://aclanthology.org/P19-1568/) *— 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics*
47. [A Deep Dive into Word Sense Disambiguation with LSTM](https://aclanthology.org/C18-1030/) *— 2018 · Proceedings of the 27th International Conference on Computational Linguistics*
48. [Approche supervisée à base de cellules LSTM bidirectionnelles pour la désambiguïsation lexicale (LSTM Based Supervised Approach for Word Sense Disambiguation)](https://aclanthology.org/2018.jeptalnrecital-long.12/) *— 2018 · Actes de la Conférence TALN. Volume 1 - Articles longs, articles courts de TALN*
49. [Deep Contextualized Word Representations](https://aclanthology.org/N18-1202/) *— 2018 · Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers)*
50. [Enhancing Modern Supervised Word Sense Disambiguation Models by Semantic Lexical Resources](https://aclanthology.org/L18-1163/) *— 2018 · Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)*
51. [FastSense: An Efficient Word Sense Disambiguation Classifier](https://aclanthology.org/L18-1168/) *— 2018 · Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)*
52. [From Word to Sense Embeddings: A Survey on Vector Representations of Meaning](https://arxiv.org/abs/1805.04032) *— 2018 · arXiv:1805.04032*
53. [Huge Automatically Extracted Training-Sets for Multilingual Word SenseDisambiguation](https://aclanthology.org/L18-1268/) *— 2018 · Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)*
54. [Incorporating Glosses into Neural Word Sense Disambiguation](https://aclanthology.org/P18-1230/) *— 2018 · Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
55. [Leveraging Gloss Knowledge in Neural Word Sense Disambiguation by Hierarchical Co-Attention](https://aclanthology.org/D18-1170/) *— 2018 · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing*
56. [Simple Embedding-Based Word Sense Disambiguation](https://aclanthology.org/2018.gwc-1.30/) *— 2018 · Proceedings of the 9th Global Wordnet Conference*
57. [The risk of sub-optimal use of Open Source NLP Software: UKB is inadvertently state-of-the-art in knowledge-based WSD](https://aclanthology.org/W18-2505/) *— 2018 · Proceedings of Workshop for NLP Open Source Software (NLP-OSS)*
58. [UFSAC: Unification of Sense Annotated Corpora and Tools](https://aclanthology.org/L18-1166/) *— 2018 · Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)*
59. [Ambiguss, a game for building a Sense Annotated Corpus for French](https://aclanthology.org/W17-6920/) *— 2017 · Proceedings of the 12th International Conference on Computational Semantics (IWCS) –- Short papers*
60. [Embedding Words and Senses Together via Joint Knowledge-Enhanced Training](https://aclanthology.org/K17-1012/) *— 2017 · Proceedings of the 21st Conference on Computational Natural Language Learning (CoNLL 2017)*
61. [EuroSense: Automatic Harvesting of Multilingual Sense Annotations from Parallel Text](https://aclanthology.org/P17-2094/) *— 2017 · Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)*
62. [Inducing Event Types and Roles in Reverse: Using Function to Discover Theme](https://aclanthology.org/W17-2710/) *— 2017 · Proceedings of the Events and Stories in the News Workshop*
63. [Neural Sequence Learning Models for Word Sense Disambiguation](https://aclanthology.org/D17-1120/) *— 2017 · Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing*
64. [SupWSD: A Flexible Toolkit for Supervised Word Sense Disambiguation](https://aclanthology.org/D17-2018/) *— 2017 · Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing: System Demonstrations*
65. [Towards a Seamless Integration of Word Senses into Downstream NLP Applications](https://aclanthology.org/P17-1170/) *— 2017 · Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
66. [Train-O-Matic: Large-Scale Supervised Word Sense Disambiguation in Multiple Languages without Manual Training Data](https://aclanthology.org/D17-1008/) *— 2017 · Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing*
67. [Uniformisation de corpus anglais annotés en sens (Unification of sense annotated English corpora for word sense disambiguation)](https://aclanthology.org/2017.jeptalnrecital-demo.9/) *— 2017 · Actes des 24ème Conférence sur le Traitement Automatique des Langues Naturelles. Volume 3 - Démonstrations*

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